史良良

简历

史良良博士在上海交通大学计算机科学与工程系获得博士学位，师从Rethinklab严骏驰教授，并于2025年4月加入SIMIS，担任长聘教轨助理教授（tenure-track）。他的研究兴趣主要集中于熵正则化最优传输、深度生成模型和组合优化等领域，曾在NeurIPS、ICML、ICLR等CCF或CAAI A类会议上发表过十余篇论文，并连续多年担任NeurIPS、ICML、ICLR、KDD、AAAI、TNNLS等会议或期刊的审稿人。他拥有丰富的学生指导经验，欢迎热爱深度学习，组合优化，量子机器学习或其他数学/物理/计算机相关领域的本科生和研究生进组实习合作。

教育经历

• 2020.9-2025.3   Shanghai Jiao Tong University   Department of Computer Science and Engineering   Doctor

工作经历

荣誉和获奖

论著

[1] 史良良, Yufeng Li, Kaipeng Zeng, Yihui Tu, Junchi Yan. Optimal  Flow  Transport  and  its  Entropic  Regularization:  a  GPU-friendly  Matrix  Iterative Algorithm for Flow Balance Satisfaction. In ICLR 2025.

[2] 史良良, Zhengyan Shi, Junchi Yan. SelKD: Selective Knowledge Distillation via Optimal Transport Perspective. In ICLR 2025.

[3] Liangliang Shi, Jack Fan, Junchi Yan. OT-CLIP: Understanding and Generalizing CLIP via Optimal Transport. In ICML 2024.

[4] Guolong Wang, Xun Wu, Zheng Qin, Liangliang Shi (corresponding author). Routing Evidence for Unseen Actions in Video Moment Retrieval. In KDD 2024.

[5] Liangliang Shi, Gu Zhang, Haoyu Zhen, Jintao Fan, Junchi Yan. Understanding and Generalizing Contrastive Learning from the Inverse Optimal Transport Perspective. In ICML 2023.

[6] Liangliang Shi, Zhaoqi Shen, Junchi Yan. Double-Bounded Optimal Transport for Advanced Clustering and Classification. In AAAI 2024.

[7] Liangliang Shi, Haoyu Zhen, Gu Zhang, Junchi Yan. Relative entropic optimal transport: a (prior-aware) matching perspective to (unbalanced) classification. In NeurIPS 2023.

[8] Yang Li, 史良良, Junchi Yan. IID-GAN: an IID Sampling Perspective for Regularizing Mode Collapse. In IJCAI 2023.

[9] Yang Li, Yichuan Mo, 史良良, Junchi Yan. Improving generative adversarial networks via adversarial learning in latent space. In NeurIPS 2022 (spotlight).

[10] Jianchao Zhu, 史良良, Junchi Yan, Hongyuan Zha. AutoMix: Mixup Networks for Sample Interpolation via Cooperative Barycenter Learning. In ECCV 2020.